Mobile

Dataset statistics

Number of variables	21
Number of observations	2000
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	328.2 KiB
Average record size in memory	168.1 B

Variable types

Numeric	14
Categorical	7

Warnings

`fc` is highly correlated with `pc`	High correlation
`four_g` is highly correlated with `three_g`	High correlation
`pc` is highly correlated with `fc`	High correlation
`px_height` is highly correlated with `px_width`	High correlation
`px_width` is highly correlated with `px_height`	High correlation
`ram` is highly correlated with `price_range`	High correlation
`sc_h` is highly correlated with `sc_w`	High correlation
`sc_w` is highly correlated with `sc_h`	High correlation
`three_g` is highly correlated with `four_g`	High correlation
`price_range` is highly correlated with `ram`	High correlation
`fc` is highly correlated with `pc`	High correlation
`four_g` is highly correlated with `three_g`	High correlation
`pc` is highly correlated with `fc`	High correlation
`ram` is highly correlated with `price_range`	High correlation
`three_g` is highly correlated with `four_g`	High correlation
`price_range` is highly correlated with `ram`	High correlation
`fc` is highly correlated with `pc`	High correlation
`four_g` is highly correlated with `three_g`	High correlation
`pc` is highly correlated with `fc`	High correlation
`ram` is highly correlated with `price_range`	High correlation
`three_g` is highly correlated with `four_g`	High correlation
`price_range` is highly correlated with `ram`	High correlation
`px_height` is highly correlated with `px_width`	High correlation
`sc_w` is highly correlated with `sc_h`	High correlation
`three_g` is highly correlated with `four_g`	High correlation
`ram` is highly correlated with `price_range`	High correlation
`px_width` is highly correlated with `px_height`	High correlation
`four_g` is highly correlated with `three_g`	High correlation
`pc` is highly correlated with `fc`	High correlation
`sc_h` is highly correlated with `sc_w`	High correlation
`price_range` is highly correlated with `ram`	High correlation
`fc` is highly correlated with `pc`	High correlation
`three_g` is highly correlated with `four_g`	High correlation
`four_g` is highly correlated with `three_g`	High correlation
`price_range` is uniformly distributed	Uniform
`fc` has 474 (23.7%) zeros	Zeros
`pc` has 101 (5.1%) zeros	Zeros
`sc_w` has 180 (9.0%) zeros	Zeros

Reproduction

Analysis started	2021-06-26 16:57:35.030838
Analysis finished	2021-06-26 16:58:17.957120
Duration	42.93 seconds
Software version	pandas-profiling v3.0.0
Download configuration	config.json

battery_power
Real number (ℝ_≥0)

Distinct	1094
Distinct (%)	54.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1238.5185

Minimum	501
Maximum	1998
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	15.8 KiB

Quantile statistics

Minimum	501
5-th percentile	570.95
Q1	851.75
median	1226
Q3	1615.25
95-th percentile	1930.15
Maximum	1998
Range	1497
Interquartile range (IQR)	763.5

Descriptive statistics

Standard deviation	439.4182061
Coefficient of variation (CV)	0.3547934133
Kurtosis	-1.224143883
Mean	1238.5185
Median Absolute Deviation (MAD)	382
Skewness	0.03189847179
Sum	2477037
Variance	193088.3598
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1589	6	0.3%
618	6	0.3%
1872	6	0.3%
1379	5	0.2%
1310	5	0.2%
1063	5	0.2%
832	5	0.2%
1414	5	0.2%
1413	5	0.2%
1807	5	0.2%
Other values (1084)	1947	97.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
501	2	0.1%
502	2	0.1%
503	3	0.1%
504	5	0.2%
506	1	0.1%
507	2	0.1%
508	3	0.1%
509	1	0.1%
510	3	0.1%
511	4	0.2%

Value	Count	Frequency (%)
1998	1	0.1%
1997	1	0.1%
1996	2	0.1%
1995	2	0.1%
1994	3	0.1%
1993	1	0.1%
1992	2	0.1%
1991	4	0.2%
1989	2	0.1%
1988	1	0.1%

blue
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	15.8 KiB

0	1010
1	990

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	2000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
0	1010	50.5%
1	990	49.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	1010	50.5%
1	990	49.5%

Most occurring characters

Value	Count	Frequency (%)
0	1010	50.5%
1	990	49.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1010	50.5%
1	990	49.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	2000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1010	50.5%
1	990	49.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1010	50.5%
1	990	49.5%

clock_speed
Real number (ℝ_≥0)

Distinct	26
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.52225

Minimum	0.5
Maximum	3
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	15.8 KiB

Quantile statistics

Minimum	0.5
5-th percentile	0.5
Q1	0.7
median	1.5
Q3	2.2
95-th percentile	2.8
Maximum	3
Range	2.5
Interquartile range (IQR)	1.5

Descriptive statistics

Standard deviation	0.8160042089
Coefficient of variation (CV)	0.5360513772
Kurtosis	-1.323417222
Mean	1.52225
Median Absolute Deviation (MAD)	0.8
Skewness	0.1780841203
Sum	3044.5
Variance	0.6658628689
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=26)

Value	Count	Frequency (%)
0.5	413	20.6%
2.8	85	4.2%
2.3	78	3.9%
1.6	76	3.8%
2.1	76	3.8%
2.5	74	3.7%
0.6	74	3.7%
1.4	70	3.5%
1.3	68	3.4%
2	67	3.4%
Other values (16)	919	46.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.5	413	20.6%
0.6	74	3.7%
0.7	64	3.2%
0.8	58	2.9%
0.9	58	2.9%
1	61	3.0%
1.1	51	2.5%
1.2	56	2.8%
1.3	68	3.4%
1.4	70	3.5%

Value	Count	Frequency (%)
3	28	1.4%
2.9	62	3.1%
2.8	85	4.2%
2.7	55	2.8%
2.6	55	2.8%
2.5	74	3.7%
2.4	58	2.9%
2.3	78	3.9%
2.2	59	2.9%
2.1	76	3.8%

dual_sim
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	15.8 KiB

1	1019
0	981

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	2000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	1
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
1	1019	50.9%
0	981	49.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	1019	50.9%
0	981	49.0%

Most occurring characters

Value	Count	Frequency (%)
1	1019	50.9%
0	981	49.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	1019	50.9%
0	981	49.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	2000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	1019	50.9%
0	981	49.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	1019	50.9%
0	981	49.0%

fc
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	20
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.3095

Minimum	0
Maximum	19
Zeros	474
Zeros (%)	23.7%
Negative	0
Negative (%)	0.0%
Memory size	15.8 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	3
Q3	7
95-th percentile	13
Maximum	19
Range	19
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	4.341443748
Coefficient of variation (CV)	1.007412402
Kurtosis	0.2770763246
Mean	4.3095
Median Absolute Deviation (MAD)	3
Skewness	1.019811411
Sum	8619
Variance	18.84813382
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=20)

Value	Count	Frequency (%)
0	474	23.7%
1	245	12.2%
2	189	9.4%
3	170	8.5%
5	139	7.0%
4	133	6.7%
6	112	5.6%
7	100	5.0%
9	78	3.9%
8	77	3.9%
Other values (10)	283	14.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	474	23.7%
1	245	12.2%
2	189	9.4%
3	170	8.5%
4	133	6.7%
5	139	7.0%
6	112	5.6%
7	100	5.0%
8	77	3.9%
9	78	3.9%

Value	Count	Frequency (%)
19	1	0.1%
18	11	0.5%
17	6	0.3%
16	24	1.2%
15	23	1.1%
14	20	1.0%
13	40	2.0%
12	45	2.2%
11	51	2.5%
10	62	3.1%

four_g
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	15.8 KiB

1	1043
0	957

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	2000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	1
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
1	1043	52.1%
0	957	47.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	1043	52.1%
0	957	47.9%

Most occurring characters

Value	Count	Frequency (%)
1	1043	52.1%
0	957	47.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	1043	52.1%
0	957	47.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	2000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	1043	52.1%
0	957	47.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	1043	52.1%
0	957	47.9%

int_memory
Real number (ℝ_≥0)

Distinct	63
Distinct (%)	3.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	32.0465

Minimum	2
Maximum	64
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	15.8 KiB

Quantile statistics

Minimum	2
5-th percentile	5
Q1	16
median	32
Q3	48
95-th percentile	61
Maximum	64
Range	62
Interquartile range (IQR)	32

Descriptive statistics

Standard deviation	18.14571496
Coefficient of variation (CV)	0.5662307882
Kurtosis	-1.21607403
Mean	32.0465
Median Absolute Deviation (MAD)	16
Skewness	0.05788932785
Sum	64093
Variance	329.2669712
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
27	47	2.4%
14	45	2.2%
16	45	2.2%
2	42	2.1%
57	42	2.1%
7	40	2.0%
42	40	2.0%
44	39	1.9%
30	39	1.9%
6	37	1.8%
Other values (53)	1584	79.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
2	42	2.1%
3	25	1.2%
4	20	1.0%
5	36	1.8%
6	37	1.8%
7	40	2.0%
8	37	1.8%
9	35	1.8%
10	36	1.8%
11	34	1.7%

Value	Count	Frequency (%)
64	31	1.6%
63	30	1.5%
62	21	1.1%
61	27	1.4%
60	27	1.4%
59	18	0.9%
58	36	1.8%
57	42	2.1%
56	27	1.4%
55	29	1.5%

m_dep
Real number (ℝ_≥0)

Distinct	10
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.50175

Minimum	0.1
Maximum	1
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	15.8 KiB

Quantile statistics

Minimum	0.1
5-th percentile	0.1
Q1	0.2
median	0.5
Q3	0.8
95-th percentile	1
Maximum	1
Range	0.9
Interquartile range (IQR)	0.6

Descriptive statistics

Standard deviation	0.2884155496
Coefficient of variation (CV)	0.5748192319
Kurtosis	-1.274348884
Mean	0.50175
Median Absolute Deviation (MAD)	0.3
Skewness	0.08908200979
Sum	1003.5
Variance	0.08318352926
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
0.1	320	16.0%
0.2	213	10.7%
0.8	208	10.4%
0.5	205	10.2%
0.7	200	10.0%
0.3	199	10.0%
0.9	195	9.8%
0.6	186	9.3%
0.4	168	8.4%
1	106	5.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.1	320	16.0%
0.2	213	10.7%
0.3	199	10.0%
0.4	168	8.4%
0.5	205	10.2%
0.6	186	9.3%
0.7	200	10.0%
0.8	208	10.4%
0.9	195	9.8%
1	106	5.3%

Value	Count	Frequency (%)
1	106	5.3%
0.9	195	9.8%
0.8	208	10.4%
0.7	200	10.0%
0.6	186	9.3%
0.5	205	10.2%
0.4	168	8.4%
0.3	199	10.0%
0.2	213	10.7%
0.1	320	16.0%

mobile_wt
Real number (ℝ_≥0)

Distinct	121
Distinct (%)	6.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	140.249

Minimum	80
Maximum	200
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	15.8 KiB

Quantile statistics

Minimum	80
5-th percentile	86
Q1	109
median	141
Q3	170
95-th percentile	196
Maximum	200
Range	120
Interquartile range (IQR)	61

Descriptive statistics

Standard deviation	35.3996549
Coefficient of variation (CV)	0.2524057562
Kurtosis	-1.210376474
Mean	140.249
Median Absolute Deviation (MAD)	31
Skewness	0.006558157429
Sum	280498
Variance	1253.135567
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
182	28	1.4%
185	27	1.4%
101	27	1.4%
146	26	1.3%
199	26	1.3%
88	25	1.2%
105	25	1.2%
198	25	1.2%
89	24	1.2%
145	23	1.1%
Other values (111)	1744	87.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
80	21	1.1%
81	13	0.7%
82	15	0.8%
83	19	0.9%
84	17	0.9%
85	13	0.7%
86	19	0.9%
87	15	0.8%
88	25	1.2%
89	24	1.2%

Value	Count	Frequency (%)
200	19	0.9%
199	26	1.3%
198	25	1.2%
197	19	0.9%
196	20	1.0%
195	11	0.5%
194	16	0.8%
193	15	0.8%
192	15	0.8%
191	15	0.8%

n_cores
Real number (ℝ_≥0)

Distinct	8
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.5205

Minimum	1
Maximum	8
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	15.8 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	3
median	4
Q3	7
95-th percentile	8
Maximum	8
Range	7
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	2.287836718
Coefficient of variation (CV)	0.5061025811
Kurtosis	-1.229749767
Mean	4.5205
Median Absolute Deviation (MAD)	2
Skewness	0.003627508314
Sum	9041
Variance	5.234196848
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
4	274	13.7%
7	259	13.0%
8	256	12.8%
2	247	12.3%
5	246	12.3%
3	246	12.3%
1	242	12.1%
6	230	11.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	242	12.1%
2	247	12.3%
3	246	12.3%
4	274	13.7%
5	246	12.3%
6	230	11.5%
7	259	13.0%
8	256	12.8%

Value	Count	Frequency (%)
8	256	12.8%
7	259	13.0%
6	230	11.5%
5	246	12.3%
4	274	13.7%
3	246	12.3%
2	247	12.3%
1	242	12.1%

pc
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	21
Distinct (%)	1.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	9.9165

Minimum	0
Maximum	20
Zeros	101
Zeros (%)	5.1%
Negative	0
Negative (%)	0.0%
Memory size	15.8 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	5
median	10
Q3	15
95-th percentile	20
Maximum	20
Range	20
Interquartile range (IQR)	10

Descriptive statistics

Standard deviation	6.064314941
Coefficient of variation (CV)	0.6115378351
Kurtosis	-1.171498795
Mean	9.9165
Median Absolute Deviation (MAD)	5
Skewness	0.01730615047
Sum	19833
Variance	36.77591571
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=21)

Value	Count	Frequency (%)
10	122	6.1%
7	119	5.9%
9	112	5.6%
20	110	5.5%
14	104	5.2%
1	104	5.2%
0	101	5.1%
2	99	5.0%
17	99	5.0%
6	95	4.8%
Other values (11)	935	46.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	101	5.1%
1	104	5.2%
2	99	5.0%
3	93	4.7%
4	95	4.8%
5	59	2.9%
6	95	4.8%
7	119	5.9%
8	89	4.5%
9	112	5.6%

Value	Count	Frequency (%)
20	110	5.5%
19	83	4.2%
18	82	4.1%
17	99	5.0%
16	88	4.4%
15	92	4.6%
14	104	5.2%
13	85	4.2%
12	90	4.5%
11	79	4.0%

px_height
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION

Distinct	1137
Distinct (%)	56.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	645.108

Minimum	0
Maximum	1960
Zeros	2
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	15.8 KiB

Quantile statistics

Minimum	0
5-th percentile	70.95
Q1	282.75
median	564
Q3	947.25
95-th percentile	1485.05
Maximum	1960
Range	1960
Interquartile range (IQR)	664.5

Descriptive statistics

Standard deviation	443.7808108
Coefficient of variation (CV)	0.6879170787
Kurtosis	-0.3158654936
Mean	645.108
Median Absolute Deviation (MAD)	318
Skewness	0.6662712561
Sum	1290216
Variance	196941.408
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
347	7	0.4%
179	6	0.3%
371	6	0.3%
275	6	0.3%
526	5	0.2%
327	5	0.2%
674	5	0.2%
667	5	0.2%
356	5	0.2%
56	5	0.2%
Other values (1127)	1945	97.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	2	0.1%
1	1	0.1%
2	1	0.1%
3	2	0.1%
4	3	0.1%
5	1	0.1%
6	1	0.1%
7	1	0.1%
8	2	0.1%
9	1	0.1%

Value	Count	Frequency (%)
1960	1	0.1%
1949	1	0.1%
1920	1	0.1%
1914	1	0.1%
1901	1	0.1%
1899	1	0.1%
1895	1	0.1%
1878	1	0.1%
1874	1	0.1%
1869	1	0.1%

px_width
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION

Distinct	1109
Distinct (%)	55.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1251.5155

Minimum	500
Maximum	1998
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	15.8 KiB

Quantile statistics

Minimum	500
5-th percentile	579.85
Q1	874.75
median	1247
Q3	1633
95-th percentile	1929.05
Maximum	1998
Range	1498
Interquartile range (IQR)	758.25

Descriptive statistics

Standard deviation	432.1994469
Coefficient of variation (CV)	0.3453408663
Kurtosis	-1.186005229
Mean	1251.5155
Median Absolute Deviation (MAD)	376
Skewness	0.01478747377
Sum	2503031
Variance	186796.3619
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
874	7	0.4%
1247	7	0.4%
1383	6	0.3%
1469	6	0.3%
1463	6	0.3%
1429	5	0.2%
1726	5	0.2%
1923	5	0.2%
1234	5	0.2%
1263	5	0.2%
Other values (1099)	1943	97.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
500	2	0.1%
501	2	0.1%
503	1	0.1%
506	1	0.1%
507	4	0.2%
508	1	0.1%
509	2	0.1%
510	3	0.1%
511	2	0.1%
512	2	0.1%

Value	Count	Frequency (%)
1998	1	0.1%
1997	1	0.1%
1996	1	0.1%
1995	3	0.1%
1994	2	0.1%
1992	1	0.1%
1991	1	0.1%
1990	1	0.1%
1989	3	0.1%
1988	5	0.2%

ram
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	1562
Distinct (%)	78.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2124.213

Minimum	256
Maximum	3998
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	15.8 KiB

Quantile statistics

Minimum	256
5-th percentile	445
Q1	1207.5
median	2146.5
Q3	3064.5
95-th percentile	3826.35
Maximum	3998
Range	3742
Interquartile range (IQR)	1857

Descriptive statistics

Standard deviation	1084.732044
Coefficient of variation (CV)	0.5106512594
Kurtosis	-1.19191307
Mean	2124.213
Median Absolute Deviation (MAD)	932.5
Skewness	0.006628035399
Sum	4248426
Variance	1176643.606
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2610	4	0.2%
2227	4	0.2%
3142	4	0.2%
1464	4	0.2%
1229	4	0.2%
315	3	0.1%
1958	3	0.1%
1277	3	0.1%
1724	3	0.1%
3703	3	0.1%
Other values (1552)	1965	98.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
256	1	0.1%
258	2	0.1%
259	1	0.1%
262	1	0.1%
263	1	0.1%
265	1	0.1%
267	1	0.1%
273	1	0.1%
277	1	0.1%
278	2	0.1%

Value	Count	Frequency (%)
3998	1	0.1%
3996	1	0.1%
3993	1	0.1%
3991	2	0.1%
3990	1	0.1%
3984	1	0.1%
3978	1	0.1%
3971	1	0.1%
3970	2	0.1%
3969	1	0.1%

sc_h
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION

Distinct	15
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	12.3065

Minimum	5
Maximum	19
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	15.8 KiB

Quantile statistics

Minimum	5
5-th percentile	6
Q1	9
median	12
Q3	16
95-th percentile	19
Maximum	19
Range	14
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	4.213245004
Coefficient of variation (CV)	0.3423593227
Kurtosis	-1.190791247
Mean	12.3065
Median Absolute Deviation (MAD)	4
Skewness	-0.09888424098
Sum	24613
Variance	17.75143347
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=15)

Value	Count	Frequency (%)
17	193	9.7%
12	157	7.8%
7	151	7.5%
16	143	7.1%
14	143	7.1%
15	135	6.8%
13	131	6.6%
11	126	6.3%
10	125	6.2%
19	124	6.2%
Other values (5)	572	28.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
5	97	4.9%
6	114	5.7%
7	151	7.5%
8	117	5.9%
9	124	6.2%
10	125	6.2%
11	126	6.3%
12	157	7.8%
13	131	6.6%
14	143	7.1%

Value	Count	Frequency (%)
19	124	6.2%
18	120	6.0%
17	193	9.7%
16	143	7.1%
15	135	6.8%
14	143	7.1%
13	131	6.6%
12	157	7.8%
11	126	6.3%
10	125	6.2%

sc_w
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	19
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.767

Minimum	0
Maximum	18
Zeros	180
Zeros (%)	9.0%
Negative	0
Negative (%)	0.0%
Memory size	15.8 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	2
median	5
Q3	9
95-th percentile	14
Maximum	18
Range	18
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	4.356397606
Coefficient of variation (CV)	0.7554010067
Kurtosis	-0.3895227894
Mean	5.767
Median Absolute Deviation (MAD)	3
Skewness	0.6337870734
Sum	11534
Variance	18.9782001
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=19)

Value	Count	Frequency (%)
1	210	10.5%
3	199	10.0%
4	182	9.1%
0	180	9.0%
5	161	8.1%
2	156	7.8%
7	132	6.6%
6	130	6.5%
8	125	6.2%
10	107	5.3%
Other values (9)	418	20.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	180	9.0%
1	210	10.5%
2	156	7.8%
3	199	10.0%
4	182	9.1%
5	161	8.1%
6	130	6.5%
7	132	6.6%
8	125	6.2%
9	97	4.9%

Value	Count	Frequency (%)
18	8	0.4%
17	19	0.9%
16	29	1.5%
15	31	1.6%
14	33	1.7%
13	49	2.5%
12	68	3.4%
11	84	4.2%
10	107	5.3%
9	97	4.9%

talk_time
Real number (ℝ_≥0)

Distinct	19
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	11.011

Minimum	2
Maximum	20
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	15.8 KiB

Quantile statistics

Minimum	2
5-th percentile	3
Q1	6
median	11
Q3	16
95-th percentile	20
Maximum	20
Range	18
Interquartile range (IQR)	10

Descriptive statistics

Standard deviation	5.463955198
Coefficient of variation (CV)	0.4962269728
Kurtosis	-1.218590963
Mean	11.011
Median Absolute Deviation (MAD)	5
Skewness	0.009511762222
Sum	22022
Variance	29.8548064
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=19)

Value	Count	Frequency (%)
7	124	6.2%
4	123	6.2%
16	116	5.8%
15	115	5.8%
19	113	5.7%
6	111	5.5%
10	105	5.2%
8	104	5.2%
11	103	5.1%
20	102	5.1%
Other values (9)	884	44.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
2	99	5.0%
3	94	4.7%
4	123	6.2%
5	93	4.7%
6	111	5.5%
7	124	6.2%
8	104	5.2%
9	100	5.0%
10	105	5.2%
11	103	5.1%

Value	Count	Frequency (%)
20	102	5.1%
19	113	5.7%
18	100	5.0%
17	98	4.9%
16	116	5.8%
15	115	5.8%
14	101	5.1%
13	100	5.0%
12	99	5.0%
11	103	5.1%

three_g
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	15.8 KiB

1	1523
0	477

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	2000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	1523	76.1%
0	477	23.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	1523	76.1%
0	477	23.8%

Most occurring characters

Value	Count	Frequency (%)
1	1523	76.1%
0	477	23.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	1523	76.1%
0	477	23.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	2000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	1523	76.1%
0	477	23.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	1523	76.1%
0	477	23.8%

touch_screen
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	15.8 KiB

1	1006
0	994

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	2000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	1
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
1	1006	50.3%
0	994	49.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	1006	50.3%
0	994	49.7%

Most occurring characters

Value	Count	Frequency (%)
1	1006	50.3%
0	994	49.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	1006	50.3%
0	994	49.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	2000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	1006	50.3%
0	994	49.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	1006	50.3%
0	994	49.7%

wifi
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	15.8 KiB

1	1014
0	986

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	2000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
1	1014	50.7%
0	986	49.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	1014	50.7%
0	986	49.3%

Most occurring characters

Value	Count	Frequency (%)
1	1014	50.7%
0	986	49.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	1014	50.7%
0	986	49.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	2000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	1014	50.7%
0	986	49.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	1014	50.7%
0	986	49.3%

price_range
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM

Distinct	4
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	15.8 KiB

1	500
0	500
2	500
3	500

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	2000
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	2
3rd row	2
4th row	2
5th row	1

Common Values

Value	Count	Frequency (%)
1	500	25.0%
0	500	25.0%
2	500	25.0%
3	500	25.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
3	500	25.0%
2	500	25.0%
0	500	25.0%
1	500	25.0%

Most occurring characters

Value	Count	Frequency (%)
1	500	25.0%
2	500	25.0%
3	500	25.0%
0	500	25.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	500	25.0%
2	500	25.0%
3	500	25.0%
0	500	25.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	2000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	500	25.0%
2	500	25.0%
3	500	25.0%
0	500	25.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	500	25.0%
2	500	25.0%
3	500	25.0%
0	500	25.0%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	battery_power	blue	clock_speed	dual_sim	fc	four_g	int_memory	m_dep	mobile_wt	n_cores	pc	px_height	px_width	ram	sc_h	sc_w	talk_time	three_g	touch_screen	wifi	price_range
0	842	0	2.2	0	1	0	7	0.6	188	2	2	20	756	2549	9	7	19	0	0	1	1
1	1021	1	0.5	1	0	1	53	0.7	136	3	6	905	1988	2631	17	3	7	1	1	0	2
2	563	1	0.5	1	2	1	41	0.9	145	5	6	1263	1716	2603	11	2	9	1	1	0	2
3	615	1	2.5	0	0	0	10	0.8	131	6	9	1216	1786	2769	16	8	11	1	0	0	2
4	1821	1	1.2	0	13	1	44	0.6	141	2	14	1208	1212	1411	8	2	15	1	1	0	1
5	1859	0	0.5	1	3	0	22	0.7	164	1	7	1004	1654	1067	17	1	10	1	0	0	1
6	1821	0	1.7	0	4	1	10	0.8	139	8	10	381	1018	3220	13	8	18	1	0	1	3
7	1954	0	0.5	1	0	0	24	0.8	187	4	0	512	1149	700	16	3	5	1	1	1	0
8	1445	1	0.5	0	0	0	53	0.7	174	7	14	386	836	1099	17	1	20	1	0	0	0
9	509	1	0.6	1	2	1	9	0.1	93	5	15	1137	1224	513	19	10	12	1	0	0	0

Last rows

	battery_power	blue	clock_speed	dual_sim	fc	four_g	int_memory	m_dep	mobile_wt	n_cores	pc	px_height	px_width	ram	sc_h	sc_w	talk_time	three_g	touch_screen	wifi	price_range
1990	1617	1	2.4	0	8	1	36	0.8	85	1	9	743	1426	296	5	3	7	1	0	0	0
1991	1882	0	2.0	0	11	1	44	0.8	113	8	19	4	743	3579	19	8	20	1	1	0	3
1992	674	1	2.9	1	1	0	21	0.2	198	3	4	576	1809	1180	6	3	4	1	1	1	0
1993	1467	1	0.5	0	0	0	18	0.6	122	5	0	888	1099	3962	15	11	5	1	1	1	3
1994	858	0	2.2	0	1	0	50	0.1	84	1	2	528	1416	3978	17	16	3	1	1	0	3
1995	794	1	0.5	1	0	1	2	0.8	106	6	14	1222	1890	668	13	4	19	1	1	0	0
1996	1965	1	2.6	1	0	0	39	0.2	187	4	3	915	1965	2032	11	10	16	1	1	1	2
1997	1911	0	0.9	1	1	1	36	0.7	108	8	3	868	1632	3057	9	1	5	1	1	0	3
1998	1512	0	0.9	0	4	1	46	0.1	145	5	5	336	670	869	18	10	19	1	1	1	0
1999	510	1	2.0	1	5	1	45	0.9	168	6	16	483	754	3919	19	4	2	1	1	1	3

Overview

Variables

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII